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cs.CL2026
Filling in the Mechanisms: How do LMs Learn Filler-Gap Dependencies under Developmental Constraints?
Atrey Desai, Sathvik Nair
For humans, filler-gap dependencies require a shared representation across different syntactic constructions. Although causal analyses suggest this may also be true for LLMs (Bogur…
cs.CL2026
Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal
Sathvik Nair, Byung-Doh Oh
How predictable a word is can be quantified in two ways: using human responses to the cloze task or using probabilities from language models (LMs).When used as predictors of proces…